creators_name: Situngkir, Hokky type: techreport datestamp: 2004-10-06 lastmod: 2011-03-11 08:55:42 metadata_visibility: show title: How Far Can We Go Through Social System? ispublished: inpress subjects: comp-sci-lang subjects: ling-sem subjects: Psycoloquy subjects: comp-sci-complex-theory subjects: psy-phys subjects: psy-ling subjects: phil-mind subjects: phil-logic subjects: BBS subjects: soc-psy subjects: phil-lang subjects: cog-psy subjects: comp-sci-art-intel subjects: phil-epist full_text_status: public keywords: meta-sociology, algorithmic information theory, incompleteness theorem, sociological theory, sociological methods abstract: The paper elaborates an endeavor on applying the algorithmic information-theoretic computational complexity to meta-social-sciences. It is motivated by the effort on seeking the impact of the well-known incompleteness theorem to the scientific methodology approaching social phenomena. The paper uses the binary string as the model of social phenomena to gain understanding on some problems faced in the philosophy of social sciences or some traps in sociological theories. The paper ends on showing the great opportunity in recent social researches and some boundaries that limit them. date: 2004-04 date_type: published institution: Bandung Fe Institute department: Dept. Computational Sociology refereed: TRUE referencetext: 1. Axtell, Robert. (2000). Why Agents? On the varied Motivations for Agent Computing in The Social Sciences. Working Paper No.17 Center on Social Economics Dynamics. The Brookings Institution. 2. Chaitin, G. (1974). "Information Theoretic Computational Complexity". IEEE Transactions on Information Theory IT-20:10-15. 3. Chaitin, G. (1975). "Randomness and Mathematical Proof". Scientific American 232(5):47-52. 4. Chaitin, G. (2004). Metamath!: The Quest for Omega. On-line publication. URL: http://www.cs.auckland.ac.nz/CDMTCS/chaitin/omega.html 5. 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